Search Results for "ml-so1v"

Analyze using summary metrics like BikeStress, TRIMP, or RPE. Extract insight via models like Critical Power and W'bal. Track and predict performance using models like Banister and PMC. Optimize aerodynamics using Virtual Elevation. Train indoors with ANT and BTLE trainers. Upload and Download with many cloud services including Strava, Withings, and Today's Plan. Import and export data to and from a wide range of bike computers and file formats. Track body measures, and equipment use and set...

...As such, it is a part of the JuliaML ecosystem. The sole purpose of this package is to provide an efficient and extensible implementation of various loss functions used throughout Machine Learning (ML). It is thus intended to serve as a special purpose back-end for other ML libraries that require losses to accomplish their tasks. To that end we provide a considerable amount of carefully implemented loss functions, as well as an API to query their properties (e.g. convexity). Furthermore, we expose methods to compute their values, derivatives, and second derivatives for single observations as well as arbitrarily sized arrays of observations. ...

Kinetic is a computational fluid dynamics toolbox written in Julia. It aims to furnish efficient modeling and simulation methodologies for fluid dynamics, augmented by the power of machine learning. Based on differentiable programming, mechanical and neural network models are fused and solved in a unified framework. Simultaneous 1-3 dimensional numerical simulations can be performed on CPUs and GPUs.

This package is designed to be the end-user facing front-end to all the data related functionality that is spread out across the JuliaML ecosystem. Most of the following sub-categories are covered by a single back-end package that is specialized on that specific problem. Consequently, if one of the following topics is of special interest to you, make sure to check out the corresponding documentation of that package.

DRINKS Toolkit is a collection of web-based widget, focused in the first release, to realize an online strumentation. It provides a practical and immediate interface to represent your data in the best possible way. Every widget is drawed using HTML5 Canvas API in a Javascript based environment. Drinks was born to allow users to easily realize custom dashboards without any programming knowledge, infact, you can use your instrument on a webpage simply using HTML tags, or using BarMan...

This project is focused on development of computational tools for the unfolding and visualization of medial temporal lobe structures based on high-resolution magnetic resonance imaging (MRI) images. Click on the Home Page link above for more information

JimboVector 3D is a suite of applications and source code which allow 3D application developers to easily implement complex 3D items into their projects. Such items would include character animations and physics, 3D maps, realtime 3D animated cutscenes,